Strategies and policies for sustainable development of Vietnam’s cultural industries using SWOT, AHP and QSPM approaches: A case study of the cultural tourism sector
Why this work is in the frame
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Bibliographic record
Abstract
Sustainable development strategies and policies for Vietnam’s cultural industries and cultural tourism play a crucial role in promoting distinctive cultural values and simultaneously fostering a country's economic and social development. The main aim of this paper is to propose sustainable development strategies and policies for cultural tourism within Vietnam’s cultural industries by applying a combined approach. The methodology integrates qualitative Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis and quantitative methods, including the Analytical Hierarchy Process (AHP) method and the Quantitative Strategic Planning Matrix (QSPM), to evaluate internal and external factors influencing sustainable development of cultural tourism in Vietnam. Two hundred twenty-six survey responses from tourists, cultural tourism site managers, and 35 expert opinions were collected and analyzed. The findings identify the most significant strengths, weaknesses, opportunities, and threats impacting the sustainable development of cultural tourism in Vietnam. Among these, the strengths and opportunities outweigh the weaknesses and threats. Based on the analysis from the SWOT-AHP-QSPM model, the study discusses and develops a growth-oriented strategy, prioritizing the application of digital technology in cultural tourism services, enhancing tourists' experiences, improving service quality, and strengthening cultural tourism promotion campaigns. The preliminary findings provide insights for policymakers, cultural tourism service providers, and local communities to adopt policies and strategic solutions that will promote the sustainable development of cultural tourism in the future, contributing to the growth of Vietnam's cultural industries.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it